Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers

An open-source MCP server that enables AI assistants to interact with Confluent Cloud, Confluent Platform, and standalone Apache Kafka deployments through natural language.

MCP server that interacts with Obsidian via the Obsidian rest API community plugin

A Model Context Protocol (MCP) server that provides access to Gong's API for retrieving call recordings and transcripts.

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug...

AI agents recompute the same work. trace-mcp makes them reuse instead. The recomputation → reuse layer for AI systems.

I've kind of given up on this as I don't have money to train it. Feel free to submit any sort of pull requests :)

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo...

MCP server for Withings health data integration

A reference implementation for integrating Model Context Protocol (MCP) capabilities into web applications using Server-Sent Events (SSE) as the transport layer.

An open-source agent toolkit that auto-syncs SDK versions, docs, and examples—built for seamless integration with LLMs, and AI agents ( MCP compatible).

A Model Context Protocol (MCP) server that allows Claude Desktop to perform document operations on Microsoft Word, Excel, and PDF files.

BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles.
Agent Skills

PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.

Meteor, the JavaScript App Platform

Claude Code Dedicated Development Harness - Achieving High-Quality Development Through an Autonomous Plan→Work→Review Cycle

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Plugin-skill wrapper around Z4nzu/hackingtool. Runs locally on any OS — native Bash on Linux/macOS, WSL on Windows, or purpose-built Docker images (instrumentisto/nmap, projectdiscovery/nuclei,...

Due-Process Review for Bounded LaTeX Revision

Effortlessly compose, extend, and observe every service in real-time for the first time ever.

Expose local http, tcp or websocket connections to the public internet

Algorithmic Trading in Python with Machine Learning

autonomous harness engineering